Marketing AI Strategist - Adobe and Salesforce

Bounteous

93d • $160,000 - $180,000

About The Position

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. Lead the transformation partnership for our client’s marketing technology ecosystem and AI-powered customer experiences. Own strategic vision, innovation agenda, and execution across the Martech stack with a mandate to optimize costs, accelerate AI adoption, and deliver measurable business outcomes. Be the connective tissue between marketing strategy, data science, and enterprise architecture.

Requirements

• 10+ years in marketing technology with 5+ years in strategic/leadership roles
• Deep expertise with Adobe Stack and Pega decisioning platforms (nice to have)
• Hands-on AI/ML experience (LLMs, propensity models, recommendation engines)
• Proven track record of cost optimizations through stack rationalization
• GCP/Google Cloud experience (Vertex AI, BigQuery, Gemini preferred)
• B2B marketing experience in complex, multi-stakeholder environments
• Expertise in AI driven Marketing automation
• Customer data platforms and identity resolution
• AI/ML frameworks and cloud-based AI services
• API integrations, data modeling, event streaming
• Performance marketing and programmatic advertising tech
• SQL, Python, or similar for data analysis/prototyping

Responsibilities

• Conduct TCO analysis of Adobe stack (AEP, AJO, CDH, Marketo, Workfront)
• Develop build vs. buy recommendations, challenging vendors when ROI doesn't justify cost
• Lead stack consolidation eliminating redundancies
• Create financial models for platform improvements
• Define Next Best Action/Next Best Offer frameworks with AI-driven decisioning
• Define QoQ Martech strategy plan balancing innovation and business priorities
• Provide architecture recommendations for customer data infrastructure and real-time decisioning
• Lead quarterly stack audits assessing utilization, data quality, integration health, security
• Identify high-value AI/automation use cases with growth marketing, product, and sales teams
• Present recommendations to VP/SVP leadership with data-driven insights
• Build business cases for strategic investments with ROI projections and risk assessments
• Lead bi-weekly innovation sprints prototyping new capabilities and/or POVs
• Help build LLM/SLM apps for content, customer insights, campaign optimization and more
• Develop platform-agnostic AI solutions leveraging GCP (Vertex AI, Gemini)
• Drive RCS messaging pilots, predictive analytics, AI-powered performance marketing
• Execute POVs demonstrating business impact
• Maintain competitive intelligence on Martech and Adtech landscape
• Help build native integrations outside Adobe/Pega to reduce vendor dependence
• Evangelize innovation through demos, workshops, executive briefings
• Define and deploy complex B2B customer journeys spanning awareness to advocacy
• Optimize multi-touch attribution and journey analytics for enterprise sales cycles
• Partner with CDH data science on propensity models, lookalike audiences, churn prediction
• Optimize Adobe Experience Platform (AEP) for real-time segmentation and activation
• Architect ABM programs leveraging intent data, predictive scoring, personalized engagement

Benefits

• $160,000 - $180,000 a year

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees